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Before Change
batch_xs = self.batch_states(
[[obs] for obs in batch_obs],
self.xp, self.phi)
batch_action = [
self.policy(batch_xs[i]).sample()
for i in range(len(batch_obs))]
// Q is not needed here, but log it just for information
// q = self.q_function(batch_xs, batch_action)
// Update stats
After Change
with chainer.using_config("train", False), chainer.no_backprop_mode():
batch_xs = self.batch_states(batch_obs,
self.xp, self.phi)
batch_action = self.policy(batch_xs).sample()
// Q is not needed here, but log it just for information
q = self.q_function(batch_xs, batch_action)
// Update stats
self.average_q *= self.average_q_decay
self.average_q += (1 - self.average_q_decay) * float(q.array)


---
layout: post
title: "Self-Supervision: Learning to Learn"
subtitle: "Prof. Bjoern Ommer
Head of Computer Vision Group, Heidelberg University"
date: 2019-01-22 19:00:0 +0000
background: '/img/posts/ommer_banner.jpg'
future_date: False
layer_shift: True
---
A major challenge of artificial intelligence is to learn models that generalize to novel data. While training images and videos are easily available, labels are not, thus motivating self-supervised learning. Furthermore, Prof. Ommer will present a widely applicable strategy based on deep reinforcement learning to improve self-supervision. As a challenging application we will discuss estimating human pose. Time permitting, Prof. Ommer will present a variety of applications of this research ranging from behavior analysis in neuroscience to data analysis in the digital humanities.
Björn Ommer is a full professor for Scientific Computing and leads the Computer Vision Group at Heidelberg University. He has studied computer science together with physics as a minor subject at the University of Bonn, Germany. His diploma (~M.Sc.) thesis focused on visual grouping based on perceptual organization and compositionality. After that he pursued his doctoral studies at ETH Zurich Switzerland in the Pattern Analysis and Machine Learning Group headed by Joachim M. Buhmann. He received his Ph.D. degree from ETH Zurich in 2007 for his dissertation "Learning the Compositional Nature of Objects for Visual Recognition" which was awarded the ETH Medal. Thereafter, Björn held a post-doc position in the Computer Vision Group of Jitendra Malik at UC Berkeley. He serves as an associate editor for the journal IEEE T-PAMI and previously for Pattern Recognition Letters. Björn is one of the directors of the HCI and of the IWR, principle investigator in the research training group 1653 ("Spatio/Temporal Graphical Models and Applications in Image Analysis"), and a member of the executive board and scientific committee of the Heidelberg Graduate School HGS MathComp. He has received the Outstanding Reviewer Award at ICCV'15, CVPR'14, ICCV'13, CVPR'11, and CVPR'10 and has served as Area Chair for ECCV'18. Björn has organized the 2011 DAGM Workshop on Unsolved Problems in Pattern Recognition.
The event will take place on Tuesday, 22 January, 2019 at 7pm at the Gästehaus Uni Heidelberg (guest house Uni Heidelberg), Im Neuenheimer Feld 370. Drinks and snacks will be provided, courtesy of the Division of Medical Image Computing at DKFZ. Kindly help us plan ahead by registering for the event on our meetup page.


Camera beast
Samsung's Galaxy S11 could be among the first phones to offer 8K 30fps video recording
The Galaxy S11 could be a significant step up from the Galaxy S10, at least in the camera department.
by Babu MohanWhat you need to know
- An APK teardown has reaffirmed that the Samsung Galaxy S11 will feature a 108MP primary camera sensor.
- Along with significant increase in megapixel count, the Galaxy S11 may also have support for 8K video recording.
- Some of the other new camera features that might debut with the Galaxy S11 series include Director's View, Single Take Photo, and Night Hyperlapse.
The folks over at XDA Developers have found references to several new camera features while performing an APK teardown of the latest version of the Samsung Camera app. These features include Director's View, Single Take Photo, Night Hyperlapse, vertical panoramas, custom filters, and more.
More interestingly, they found evidence that suggests the Galaxy S11 will be the first Samsung flagship smartphone to support 8K video recording. This isn't a complete surprise, though, as the Exynos 990 chipset that is expected to power the international variants of the Galaxy S11, supports 8K@30fps video encoding and decoding. Qualcomm's upcoming Snapdragon 865 chipset is expected to support 8K video recording as well.
Along with a powerful chipset, 8K video recording also requires a camera sensor with 33,177,600 or higher pixels. As a few recent leaks have suggested, the Galaxy S11 might feature a 108MP primary camera sensor. The strings found during the APK teardown reaffirm the presence of a 108MP sensor, although we still do not know the difference between the ISOCELL Bright HMX and the "improved" sensor that the Galaxy S11 is rumored to use.
Additionally, XDA Developers found reference to a 20:9 aspect ratio, which could mean that Samsung's 2020 flagship phones will have a slightly taller aspect ratio. The Galaxy S11 series is rumored to come equipped with high refresh rate displays as well.
Get More Galaxy S10
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public interface ParseTree extends SyntaxTree
RuleContext
objects created
during a parse that makes the data structure look like a simple parse tree.
This node represents both internal nodes, rule invocations,
and leaf nodes, token matches.
The payload is either a Token
or a RuleContext
object.
| Modifier and Type | Method and Description |
|---|---|
<T> T |
accept(ParseTreeVisitor<? extends T> visitor)
The
ParseTreeVisitor needs a double dispatch method. |
ParseTree |
getChild(int i)
If there are children, get the
i th value indexed from 0. |
ParseTree |
getParent()
The parent of this node.
|
String |
getText()
Return the combined text of all leaf nodes.
|
void |
setParent(RuleContext parent)
Set the parent for this node.
|
String |
toStringTree(Parser parser)
Specialize toStringTree so that it can print out more information
based upon the parser.
|
getSourceInterval
getChildCount, getPayload, toStringTree
ParseTree getParent()
Tree
ParseTree getChild(int i)
Tree
i
th value indexed from 0.void setParent(RuleContext parent)
<T> T accept(ParseTreeVisitor<? extends T> visitor)
ParseTreeVisitor
needs a double dispatch method.String getText()
Copyright © 1992–2021 ANTLR. All rights reserved.


interface NodeLifecycleRPCOps : RPCOps
getNodeConfiguration |
abstract fun getNodeConfiguration(): String |
isWaitingForShutdown |
Returns whether the node is waiting for pending flows to complete before shutting down. Disabling draining mode cancels this state. abstract fun isWaitingForShutdown(): Boolean |
terminate |
Shuts the node down. Returns immediately. abstract fun terminate(drainPendingFlows: Boolean = false): Unit |


As a cg major, I've had the chance to learn from the fundamentals of cg like half-edge data structures to programming my own Minecraft. Here's a culmination of what I've discovered from my learning journey thus far. Enjoy!


About:
Mozilla Firefox, or simply Firefox, is a free and open-source web browser developed by the Mozilla Foundation and its subsidiary, Mozilla Corporation (via Wikipedia).
- Website: Firefox Download
- Developers: Mozilla Corporation, Mozilla Foundation
- Initial release date: 2002
- Stable release: 48.0, 51.0.1, 62.0
- Programming languages: JavaScript, Cascading Style Sheets, C, C++, XBL, XUL
- Engines: SpiderMonkey, Gecko


Black Friday UK 2014 Holidays
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Dubai’s cruise season, which began in late October with the arrival of the Rotterdam, heated up last weekend as the weather cooled.
American Airlines will give customers another choice for trans-Atlantic travel when it launches new daily daytime service from Philadelphia International Airport to London Heathrow Airport on March 29th, 2015.


Class: Spread::Bond
- Inherits:
-
Object
- Object
- Spread::Bond
- Defined in:
- lib/spread/bond.rb
Overview
Representation of bond input information.
Constant Summary
- PERCENT =
Percentage symbol removed from CSV when parsing.
"%"
Instance Attribute Summary collapse
-
#issue ⇒ String
readonly
Bond issue type.
-
#name ⇒ String
readonly
Bond name.
-
#term_years ⇒ Numeric
readonly
Length of the bond's term, in years, as a float.
-
#yield_percent ⇒ Numeric
readonly
Percentage yield of the bond, as a float out of 100%, for example 3.3(%).
Instance Method Summary collapse
-
#initialize(name, issue, term_years, yield_percent) ⇒ Bond
constructor
Constructs a new Bond object.
Constructor Details
#initialize(name, issue, term_years, yield_percent) ⇒ Bond
Constructs a new Bond object.
22 23 24 25 26 27 28 29 30 31 |
# File 'lib/spread/bond.rb', line 22 def initialize(name, issue, term_years, yield_percent) @name = name @issue = issue # This may fail without rescue or return an unknown value if term_years is # not a String in the format "13.2 years". @term_years = term_years.split[0].to_f # This may fail without rescue or return an unknown value if yield_percent # is not a String in the format "3.30%". @yield_percent = yield_percent.delete(PERCENT).to_f end |
Instance Attribute Details
#issue ⇒ String (readonly)
Returns Bond issue type. Assumed to be either “corporate” or “government”.
10 11 12 |
# File 'lib/spread/bond.rb', line 10 def issue @issue end |
#name ⇒ String (readonly)
Returns Bond name.
8 9 10 |
# File 'lib/spread/bond.rb', line 8 def name @name end |
#term_years ⇒ Numeric (readonly)
Returns Length of the bond's term, in years, as a float.
12 13 14 |
# File 'lib/spread/bond.rb', line 12 def term_years @term_years end |
#yield_percent ⇒ Numeric (readonly)
Returns Percentage yield of the bond, as a float out of 100%, for example 3.3(%).
14 15 16 |
# File 'lib/spread/bond.rb', line 14 def yield_percent @yield_percent end |


---
title: Concepts
layout: documentation
doc-tab: customize
doc-subtab: concepts
breadcrumb:
- home
- documentation
- customize
- customize-concepts
---
{% assign variables_link = site.data.links.by_id['customize-variables'] %}
Bulma is highly customizable thanks to 419 Sass variables living across 28 files.
These variables exist at 4 levels:
-
initial variables: global variables with literal values
-
derived variables: global variables with values that reference other variables, or are computed
-
generic variables: for the HTML elements which carry no CSS class
-
element/component variables: variables that are specific to a Bulma element/component
Since these variables carry the !default
flag, they can be assigned a new value either before or after having been imported.
{% include elements/anchor.html name="Strategy" %}
{% assign node_sass_link = site.data.links.by_id['customize-node-sass'] %}
{% assign sass_cli_link = site.data.links.by_id['customize-sass-cli'] %}
{% assign webpack_link = site.data.links.by_id['customize-webpack'] %}
To customize Bulma, you will need to:
-
install (or download) Bulma
-
have a working Sass setup
-
create your own
.scss
or .sass
file
This can be achieved with any of the following: